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Daily rainfall forecasting using an ensemble technique based on singular spectrum analysis
IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)
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In previous work, we have proposed a constructive methodology for temporal data learning supported by results and prescriptions related to the Takens-Mañé theorem and using the Singular Spectrum Analysis in order to reduce the effects of the possible discontinuity of the signal. In this paper we present some new results concerning the application of this approach to the forecasting of the individual rainfall intensities series collected by 135 stations distributed in the Tiber basin.
doi:10.1109/ijcnn.2001.939028
fatcat:egdk53qxo5aexppvhh7vryyfdy